Articles | Volume 13, issue 17
https://doi.org/10.5194/bg-13-5085-2016
https://doi.org/10.5194/bg-13-5085-2016
Reviews and syntheses
 | 
13 Sep 2016
Reviews and syntheses |  | 13 Sep 2016

Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography

Caitlin E. Moore, Tim Brown, Trevor F. Keenan, Remko A. Duursma, Albert I. J. M. van Dijk, Jason Beringer, Darius Culvenor, Bradley Evans, Alfredo Huete, Lindsay B. Hutley, Stefan Maier, Natalia Restrepo-Coupe, Oliver Sonnentag, Alison Specht, Jeffrey R. Taylor, Eva van Gorsel, and Michael J. Liddell

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Cited articles

Ahrends, H. E., Etzold, S., Kutsch, W. L., Stoeckli, R., Bruegger, R., Jeanneret, F., Wanner, H., Buchmann, N., and Eugster, W.: Tree phenology and carbon dioxide fluxes: Use of digital photography for process-based interpretation at the ecosystem scale, Clim. Res., 39, 261–274, 2009.
Andela, N., Liu, Y. Y., van Dijk, A. I. J. M., de Jeu, R. A. M., and McVicar, T. R.: Global changes in dryland vegetation dynamics (1988 to 2008) assessed by satellite remote sensing: comparing a new passive microwave vegetation density record with reflective greenness data, Biogeosciences, 10, 6657–6676, https://doi.org/10.5194/bg-10-6657-2013, 2013.
Andrew, M. H. and Mott, J. J.: Annuals with transient seed banks: the population biology of indigenous Sorghum species of tropical north-west Australia, Aust. J. Ecol., 8, 265–276, 1983.
Barry, K., Corkrey, R., Stone, C., and Mohammed, C.: Characterizing eucalypt leaf phenology and stress with spectral analysis, in: Innovations in Remote Sensing and Photogrammetry, Lecture Notes in Geoinformation and Cartography, edited by: Jones, S. and Reinke, K., Springer, Berlin Heidelberg, 193–209, 2009.
Beringer, J., Hutley, L. B., Tapper, N. J., and Cernusak, L. A.: Savanna fires and their impact on net ecosystem productivity in North Australia, Glob. Change Biol., 13, 990–1004, 2007.
Short summary
Australian vegetation phenology is highly variable due to the diversity of ecosystems on the continent. We explore continental-scale variability using satellite remote sensing by broadly classifying areas as seasonal, non-seasonal, or irregularly seasonal. We also examine ecosystem-scale phenology using phenocams and show that some broadly non-seasonal ecosystems do display phenological variability. Overall, phenocams are useful for understanding ecosystem-scale Australian vegetation phenology.
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